Quality Management Of Weed Control System By Image Processing Techniques- A Review

Abstract

Modern sustainable agriculture depends on hybrid approach of combining ecofriendly farming system and precision tools to combat the challenges of farmers. Agricultural image processing is applicable to various real time challenges in the agriculture field. One such challenge is weed infestation which compete with agricultural crops. To feed the  global population,  innovative promising practices are required to enhance yield rates and promote sustainable farming methods. Hence this paper critically reviews about quality management of weed control system by image processing techniques. Cultural methods can only  reduce the weed infestation but still profitable growth of agricultural crops is a critical factor.The available traditional image processing technologies used in weed management are image segmentation, restoration, spatial and frequency domain techniques and traditional image-processing algorithms . Various precision tools such as Precision Weed Management (PWM), emphasizing cutting-edge technologies such as computer vision, Unmanned Aerial Vehicles (UAVs) and autonomous weeding robots were discussed. Thus to implement  weed management technologies a smart agricultural field  and yield can be focused on precision and sustainability.